Comportamiento de dataframe

Dataset statistics

Number of variables	15
Number of observations	1253
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	285.8 KiB
Average record size in memory	233.6 B

Variable types

Categorical	2
Numeric	13

Alerts

`FECHA_DEF` has a high cardinality: 629 distinct values	High cardinality
`NEUMONIA` is highly correlated with `EDAD` and 11 other fields	High correlation
`EDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`DIABETES` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`EPOC` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`ASMA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`INMUSUPR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`HIPERTENSION` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OTRA_COM` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CARDIOVASCULAR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OBESIDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`RENAL_CRONICA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`TABAQUISMO` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CLASIFICACION_FINAL` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`NEUMONIA` is highly correlated with `EDAD` and 11 other fields	High correlation
`EDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`DIABETES` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`EPOC` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`ASMA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`INMUSUPR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`HIPERTENSION` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OTRA_COM` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CARDIOVASCULAR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OBESIDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`RENAL_CRONICA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`TABAQUISMO` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CLASIFICACION_FINAL` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`NEUMONIA` is highly correlated with `EDAD` and 11 other fields	High correlation
`EDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`DIABETES` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`EPOC` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`ASMA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`INMUSUPR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`HIPERTENSION` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OTRA_COM` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CARDIOVASCULAR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OBESIDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`RENAL_CRONICA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`TABAQUISMO` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CLASIFICACION_FINAL` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`SEXO` is highly correlated with `CLASIFICACION_FINAL`	High correlation
`NEUMONIA` is highly correlated with `EDAD` and 11 other fields	High correlation
`EDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`DIABETES` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`EPOC` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`ASMA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`INMUSUPR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`HIPERTENSION` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OTRA_COM` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CARDIOVASCULAR` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`OBESIDAD` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`RENAL_CRONICA` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`TABAQUISMO` is highly correlated with `NEUMONIA` and 11 other fields	High correlation
`CLASIFICACION_FINAL` is highly correlated with `SEXO` and 12 other fields	High correlation
`FECHA_DEF` is uniformly distributed	Uniform

Reproduction

Analysis started	2021-12-10 20:38:07.904319
Analysis finished	2021-12-10 20:38:45.834455
Duration	37.93 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

FECHA_DEF
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	629
Distinct (%)	50.2%
Missing	0
Missing (%)	0.0%
Memory size	82.1 KiB

2021-09-30	2
2021-09-24	2
2021-10-27	2
2020-04-16	2
2020-11-07	2
Other values (624)	1243

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.4%

Sample

1st row	2020-03-18
2nd row	2020-03-18
3rd row	2020-03-20
4th row	2020-03-22
5th row	2020-03-23

Common Values

Value	Count	Frequency (%)
2021-09-30	2	0.2%
2021-09-24	2	0.2%
2021-10-27	2	0.2%
2020-04-16	2	0.2%
2020-11-07	2	0.2%
2020-06-10	2	0.2%
2021-07-25	2	0.2%
2021-06-30	2	0.2%
2021-09-04	2	0.2%
2021-04-23	2	0.2%
Other values (619)	1233	98.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-09-30	2	0.2%
2021-01-03	2	0.2%
2021-02-24	2	0.2%
2021-07-15	2	0.2%
2021-01-29	2	0.2%
2021-01-11	2	0.2%
2021-06-08	2	0.2%
2021-07-27	2	0.2%
2020-11-19	2	0.2%
2021-06-26	2	0.2%
Other values (619)	1233	98.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SEXO
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	76.6 KiB

Hombre	628
Mujer	625

Length

Max length	6
Median length	6
Mean length	5.501197127
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hombre
2nd row	Mujer
3rd row	Hombre
4th row	Hombre
5th row	Mujer

Common Values

Value	Count	Frequency (%)
Hombre	628	50.1%
Mujer	625	49.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
hombre	628	50.1%
mujer	625	49.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

NEUMONIA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	506
Distinct (%)	40.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	258.9209896

Minimum	1
Maximum	812
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	45.6
Q1	120
median	249
Q3	360
95-th percentile	537
Maximum	812
Range	811
Interquartile range (IQR)	240

Descriptive statistics

Standard deviation	161.6604268
Coefficient of variation (CV)	0.6243619995
Kurtosis	0.09545303296
Mean	258.9209896
Median Absolute Deviation (MAD)	120
Skewness	0.6353828691
Sum	324428
Variance	26134.09359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	9	0.7%
68	8	0.6%
282	8	0.6%
230	7	0.6%
253	7	0.6%
152	7	0.6%
74	7	0.6%
85	7	0.6%
72	7	0.6%
169	7	0.6%
Other values (496)	1179	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.3%
2	5	0.4%
3	2	0.2%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	3	0.2%
8	1	0.1%
9	2	0.2%
13	1	0.1%

Value	Count	Frequency (%)
812	1	0.1%
795	1	0.1%
784	1	0.1%
782	1	0.1%
773	1	0.1%
764	1	0.1%
763	1	0.1%
751	1	0.1%
745	1	0.1%
743	1	0.1%

EDAD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1217
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12463.42139

Minimum	56
Maximum	37747
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	56
5-th percentile	2189.6
Q1	5666
median	12121
Q3	17319
95-th percentile	25879.2
Maximum	37747
Range	37691
Interquartile range (IQR)	11653

Descriptive statistics

Standard deviation	7737.418553
Coefficient of variation (CV)	0.6208101541
Kurtosis	0.01706119907
Mean	12463.42139
Median Absolute Deviation (MAD)	5615
Skewness	0.5938021081
Sum	15616667
Variance	59867645.87
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22604	3	0.2%
7633	2	0.2%
7047	2	0.2%
11599	2	0.2%
4503	2	0.2%
2250	2	0.2%
3659	2	0.2%
2844	2	0.2%
15014	2	0.2%
1941	2	0.2%
Other values (1207)	1232	98.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
56	1	0.1%
59	1	0.1%
61	1	0.1%
83	1	0.1%
100	1	0.1%
112	1	0.1%
116	1	0.1%
139	2	0.2%
143	1	0.1%
178	1	0.1%

Value	Count	Frequency (%)
37747	1	0.1%
37577	1	0.1%
37328	1	0.1%
37226	1	0.1%
37009	1	0.1%
36636	1	0.1%
36304	1	0.1%
35322	1	0.1%
35206	1	0.1%
35124	1	0.1%

DIABETES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	709
Distinct (%)	56.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	436.6855547

Minimum	1
Maximum	1868
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	61
Q1	187
median	391
Q3	621
95-th percentile	1017.2
Maximum	1868
Range	1867
Interquartile range (IQR)	434

Descriptive statistics

Standard deviation	307.1605377
Coefficient of variation (CV)	0.7033906536
Kurtosis	0.8220393278
Mean	436.6855547
Median Absolute Deviation (MAD)	213
Skewness	0.9124112776
Sum	547167
Variance	94347.59593
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78	6	0.5%
61	6	0.5%
265	6	0.5%
108	6	0.5%
86	5	0.4%
291	5	0.4%
73	5	0.4%
499	5	0.4%
546	5	0.4%
564	5	0.4%
Other values (699)	1199	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.3%
3	4	0.3%
4	3	0.2%
6	2	0.2%
8	2	0.2%
10	2	0.2%
11	2	0.2%
12	2	0.2%
17	1	0.1%
21	2	0.2%

Value	Count	Frequency (%)
1868	1	0.1%
1756	1	0.1%
1724	1	0.1%
1589	1	0.1%
1447	1	0.1%
1442	1	0.1%
1434	1	0.1%
1404	1	0.1%
1403	1	0.1%
1383	1	0.1%

EPOC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	757
Distinct (%)	60.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	502.0247406

Minimum	1
Maximum	2030
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	72
Q1	225
median	462
Q3	715
95-th percentile	1132.2
Maximum	2030
Range	2029
Interquartile range (IQR)	490

Descriptive statistics

Standard deviation	344.4080121
Coefficient of variation (CV)	0.6860379264
Kurtosis	0.730253287
Mean	502.0247406
Median Absolute Deviation (MAD)	246
Skewness	0.8632385163
Sum	629037
Variance	118616.8788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	6	0.5%
121	6	0.5%
114	6	0.5%
327	5	0.4%
94	5	0.4%
676	5	0.4%
120	5	0.4%
243	5	0.4%
300	5	0.4%
140	5	0.4%
Other values (747)	1200	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	3	0.2%
3	3	0.2%
4	3	0.2%
5	1	0.1%
8	2	0.2%
10	1	0.1%
11	1	0.1%
12	2	0.2%
13	1	0.1%

Value	Count	Frequency (%)
2030	1	0.1%
2004	1	0.1%
1947	1	0.1%
1716	1	0.1%
1684	1	0.1%
1644	1	0.1%
1632	1	0.1%
1613	1	0.1%
1566	1	0.1%
1550	1	0.1%

ASMA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	755
Distinct (%)	60.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	503.9225858

Minimum	1
Maximum	2035
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	73.6
Q1	222
median	460
Q3	714
95-th percentile	1144.6
Maximum	2035
Range	2034
Interquartile range (IQR)	492

Descriptive statistics

Standard deviation	346.2178504
Coefficient of variation (CV)	0.6870457093
Kurtosis	0.7970130385
Mean	503.9225858
Median Absolute Deviation (MAD)	246
Skewness	0.888872956
Sum	631415
Variance	119866.7999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	6	0.5%
95	6	0.5%
81	6	0.5%
212	5	0.4%
563	5	0.4%
196	5	0.4%
272	5	0.4%
558	5	0.4%
100	5	0.4%
419	5	0.4%
Other values (745)	1200	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	3	0.2%
4	6	0.5%
6	1	0.1%
8	2	0.2%
10	1	0.1%
12	3	0.2%
14	2	0.2%
18	2	0.2%
21	1	0.1%

Value	Count	Frequency (%)
2035	1	0.1%
2023	1	0.1%
1960	1	0.1%
1762	1	0.1%
1727	1	0.1%
1702	1	0.1%
1565	1	0.1%
1553	1	0.1%
1547	1	0.1%
1545	1	0.1%

INMUSUPR
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	738
Distinct (%)	58.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	506.0925778

Minimum	2
Maximum	2042
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	2
5-th percentile	74
Q1	224
median	462
Q3	718
95-th percentile	1157.8
Maximum	2042
Range	2040
Interquartile range (IQR)	494

Descriptive statistics

Standard deviation	345.9558265
Coefficient of variation (CV)	0.6835820988
Kurtosis	0.7252845166
Mean	506.0925778
Median Absolute Deviation (MAD)	248
Skewness	0.864915738
Sum	634134
Variance	119685.4339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74	7	0.6%
97	6	0.5%
489	5	0.4%
830	5	0.4%
92	5	0.4%
388	5	0.4%
122	5	0.4%
114	5	0.4%
80	5	0.4%
214	5	0.4%
Other values (728)	1200	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	4	0.3%
3	1	0.1%
4	5	0.4%
6	1	0.1%
8	2	0.2%
9	1	0.1%
12	3	0.2%
13	1	0.1%
14	1	0.1%
17	1	0.1%

Value	Count	Frequency (%)
2042	1	0.1%
2018	1	0.1%
1959	1	0.1%
1698	1	0.1%
1662	1	0.1%
1644	1	0.1%
1621	1	0.1%
1614	1	0.1%
1573	1	0.1%
1560	1	0.1%

HIPERTENSION
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	688
Distinct (%)	54.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	416.2585794

Minimum	1
Maximum	1850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	55
Q1	177
median	371
Q3	598
95-th percentile	972.4
Maximum	1850
Range	1849
Interquartile range (IQR)	421

Descriptive statistics

Standard deviation	295.9029208
Coefficient of variation (CV)	0.710863236
Kurtosis	1.127985552
Mean	416.2585794
Median Absolute Deviation (MAD)	205
Skewness	0.9833046605
Sum	521572
Variance	87558.53851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	8	0.6%
121	7	0.6%
392	6	0.5%
119	6	0.5%
411	6	0.5%
386	5	0.4%
200	5	0.4%
598	5	0.4%
475	5	0.4%
50	5	0.4%
Other values (678)	1195	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.2%
2	4	0.3%
3	2	0.2%
4	2	0.2%
6	1	0.1%
8	2	0.2%
9	2	0.2%
10	1	0.1%
11	1	0.1%
12	2	0.2%

Value	Count	Frequency (%)
1850	1	0.1%
1732	1	0.1%
1714	1	0.1%
1575	1	0.1%
1482	1	0.1%
1407	1	0.1%
1398	1	0.1%
1391	1	0.1%
1338	1	0.1%
1335	1	0.1%

OTRA_COM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	820
Distinct (%)	65.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	600.6121309

Minimum	1
Maximum	2478
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	74
Q1	243
median	537
Q3	860
95-th percentile	1357
Maximum	2478
Range	2477
Interquartile range (IQR)	617

Descriptive statistics

Standard deviation	428.0352277
Coefficient of variation (CV)	0.7126649724
Kurtosis	0.9360552387
Mean	600.6121309
Median Absolute Deviation (MAD)	306
Skewness	0.919792499
Sum	752567
Variance	183214.1561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96	7	0.6%
231	7	0.6%
4	5	0.4%
207	5	0.4%
654	5	0.4%
97	5	0.4%
166	5	0.4%
121	4	0.3%
705	4	0.3%
321	4	0.3%
Other values (810)	1202	95.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	3	0.2%
4	5	0.4%
6	1	0.1%
7	2	0.2%
9	1	0.1%
11	1	0.1%
12	2	0.2%
13	1	0.1%
14	1	0.1%

Value	Count	Frequency (%)
2478	1	0.1%
2413	1	0.1%
2404	1	0.1%
2395	1	0.1%
2179	1	0.1%
2118	1	0.1%
2020	1	0.1%
2006	1	0.1%
2001	1	0.1%
1997	1	0.1%

CARDIOVASCULAR
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	740
Distinct (%)	59.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	502.7039106

Minimum	1
Maximum	2011
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	73
Q1	220
median	464
Q3	711
95-th percentile	1142.6
Maximum	2011
Range	2010
Interquartile range (IQR)	491

Descriptive statistics

Standard deviation	343.3287706
Coefficient of variation (CV)	0.6829641928
Kurtosis	0.6194867016
Mean	502.7039106
Median Absolute Deviation (MAD)	246
Skewness	0.8411999569
Sum	629888
Variance	117874.6447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	8	0.6%
94	7	0.6%
536	7	0.6%
4	6	0.5%
572	6	0.5%
576	6	0.5%
153	6	0.5%
259	5	0.4%
75	5	0.4%
692	5	0.4%
Other values (730)	1192	95.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	3	0.2%
4	6	0.5%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%
12	2	0.2%
13	1	0.1%

Value	Count	Frequency (%)
2011	1	0.1%
1889	1	0.1%
1852	1	0.1%
1730	1	0.1%
1701	1	0.1%
1672	1	0.1%
1610	1	0.1%
1541	1	0.1%
1530	1	0.1%
1523	1	0.1%

OBESIDAD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	714
Distinct (%)	57.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	449.8747007

Minimum	1
Maximum	1888
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	64
Q1	199
median	404
Q3	631
95-th percentile	1014.8
Maximum	1888
Range	1887
Interquartile range (IQR)	432

Descriptive statistics

Standard deviation	311.4409945
Coefficient of variation (CV)	0.6922838604
Kurtosis	0.9874545479
Mean	449.8747007
Median Absolute Deviation (MAD)	218
Skewness	0.925003129
Sum	563693
Variance	96995.49307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
389	7	0.6%
519	6	0.5%
93	6	0.5%
465	6	0.5%
214	6	0.5%
358	6	0.5%
68	5	0.4%
84	5	0.4%
86	5	0.4%
124	5	0.4%
Other values (704)	1196	95.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.2%
2	2	0.2%
3	3	0.2%
4	2	0.2%
5	1	0.1%
7	1	0.1%
8	1	0.1%
9	2	0.2%
10	2	0.2%
12	1	0.1%

Value	Count	Frequency (%)
1888	1	0.1%
1851	1	0.1%
1760	1	0.1%
1722	1	0.1%
1503	1	0.1%
1447	2	0.2%
1439	1	0.1%
1434	1	0.1%
1426	1	0.1%
1417	1	0.1%

RENAL_CRONICA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	757
Distinct (%)	60.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	495.1851556

Minimum	1
Maximum	2082
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	71.6
Q1	217
median	448
Q3	705
95-th percentile	1135.4
Maximum	2082
Range	2081
Interquartile range (IQR)	488

Descriptive statistics

Standard deviation	341.103365
Coefficient of variation (CV)	0.6888400453
Kurtosis	0.7689435349
Mean	495.1851556
Median Absolute Deviation (MAD)	244
Skewness	0.8822430826
Sum	620467
Variance	116351.5056
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
114	6	0.5%
137	6	0.5%
554	6	0.5%
375	5	0.4%
587	5	0.4%
96	5	0.4%
240	5	0.4%
106	5	0.4%
478	5	0.4%
91	5	0.4%
Other values (747)	1200	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	3	0.2%
3	1	0.1%
4	5	0.4%
6	1	0.1%
8	2	0.2%
9	1	0.1%
12	4	0.3%
13	1	0.1%
14	1	0.1%

Value	Count	Frequency (%)
2082	1	0.1%
2002	1	0.1%
1828	1	0.1%
1692	1	0.1%
1661	1	0.1%
1617	1	0.1%
1608	1	0.1%
1549	1	0.1%
1537	1	0.1%
1531	1	0.1%

TABAQUISMO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	750
Distinct (%)	59.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	498.6256983

Minimum	2
Maximum	2062
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	2
5-th percentile	73.6
Q1	219
median	458
Q3	703
95-th percentile	1123.4
Maximum	2062
Range	2060
Interquartile range (IQR)	484

Descriptive statistics

Standard deviation	341.004698
Coefficient of variation (CV)	0.6838891359
Kurtosis	0.8528495173
Mean	498.6256983
Median Absolute Deviation (MAD)	242
Skewness	0.8787988415
Sum	624778
Variance	116284.204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	6	0.5%
373	5	0.4%
351	5	0.4%
326	5	0.4%
91	5	0.4%
110	5	0.4%
555	5	0.4%
518	5	0.4%
115	5	0.4%
296	5	0.4%
Other values (740)	1202	95.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	4	0.3%
3	1	0.1%
4	6	0.5%
7	1	0.1%
8	1	0.1%
10	1	0.1%
11	2	0.2%
12	1	0.1%
13	1	0.1%
14	1	0.1%

Value	Count	Frequency (%)
2062	1	0.1%
1993	1	0.1%
1901	1	0.1%
1861	1	0.1%
1824	1	0.1%
1705	1	0.1%
1596	1	0.1%
1567	1	0.1%
1566	1	0.1%
1523	1	0.1%

CLASIFICACION_FINAL
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	775
Distinct (%)	61.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	570.1747805

Minimum	2
Maximum	1678
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	2
5-th percentile	105.6
Q1	269
median	550
Q3	786
95-th percentile	1162.6
Maximum	1678
Range	1676
Interquartile range (IQR)	517

Descriptive statistics

Standard deviation	347.0110815
Coefficient of variation (CV)	0.608604753
Kurtosis	-0.111881788
Mean	570.1747805
Median Absolute Deviation (MAD)	259
Skewness	0.5533832436
Sum	714429
Variance	120416.6907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
232	6	0.5%
171	6	0.5%
6	5	0.4%
458	5	0.4%
676	5	0.4%
552	5	0.4%
696	5	0.4%
565	5	0.4%
613	4	0.3%
211	4	0.3%
Other values (765)	1203	96.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	2	0.2%
3	2	0.2%
4	1	0.1%
6	5	0.4%
8	1	0.1%
9	1	0.1%
12	1	0.1%
15	2	0.2%
18	2	0.2%
19	1	0.1%

Value	Count	Frequency (%)
1678	1	0.1%
1670	1	0.1%
1661	1	0.1%
1653	1	0.1%
1648	1	0.1%
1645	1	0.1%
1595	1	0.1%
1590	1	0.1%
1585	1	0.1%
1574	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	FECHA_DEF	SEXO	NEUMONIA	EDAD	DIABETES	EPOC	ASMA	INMUSUPR	HIPERTENSION	OTRA_COM	CARDIOVASCULAR	OBESIDAD	RENAL_CRONICA	TABAQUISMO	CLASIFICACION_FINAL
0	2020-03-18	Hombre	2	116	3	4	4	4	3	4	4	3	4	4	6
1	2020-03-18	Mujer	1	83	1	1	1	2	1	98	1	2	2	2	2
2	2020-03-20	Hombre	1	56	1	2	2	2	2	2	2	1	1	2	3
3	2020-03-22	Hombre	2	139	3	3	4	3	2	4	4	4	3	4	4
4	2020-03-23	Mujer	1	61	1	2	2	2	1	1	2	1	2	2	3
5	2020-03-24	Hombre	3	178	4	5	6	6	4	6	6	5	6	4	8
6	2020-03-25	Hombre	2	112	3	3	4	4	2	2	4	3	4	3	6
7	2020-03-26	Hombre	6	345	10	12	12	12	9	12	12	9	12	12	18
8	2020-03-26	Mujer	2	139	3	4	4	4	2	4	4	2	4	4	6
9	2020-03-27	Hombre	7	404	12	13	14	14	14	14	14	13	13	14	20

Last rows

	FECHA_DEF	SEXO	NEUMONIA	EDAD	DIABETES	EPOC	ASMA	INMUSUPR	HIPERTENSION	OTRA_COM	CARDIOVASCULAR	OBESIDAD	RENAL_CRONICA	TABAQUISMO	CLASIFICACION_FINAL
1243	2021-12-04	Hombre	64	3281	84	102	101	100	83	97	100	93	94	95	153
1244	2021-12-04	Mujer	36	1857	43	53	56	53	44	53	56	51	54	55	84
1245	2021-12-05	Hombre	75	3691	87	105	108	110	84	106	105	102	103	102	164
1246	2021-12-05	Mujer	46	2233	48	66	68	68	43	68	66	59	63	67	102
1247	2021-12-06	Hombre	63	2979	174	192	191	189	170	188	188	184	185	186	144
1248	2021-12-06	Mujer	52	2461	59	71	73	74	50	73	73	67	72	71	109
1249	2021-12-07	Hombre	45	2349	55	68	70	69	51	69	69	65	64	66	105
1250	2021-12-07	Mujer	28	1418	31	37	40	38	25	132	39	32	37	40	60
1251	2021-12-08	Hombre	8	315	6	8	8	8	6	7	7	8	8	8	12
1252	2021-12-08	Mujer	13	632	11	16	18	17	11	18	18	14	18	18	27

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows